Is this urgent?: Exploring time-sensitive information needs in collaborative question answering

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 712-713

  Liu, Yandong ^a   Narasimhan, Nitya ^b   Vasudevan, Venu ^b   Agichtein, Eugene ^a  

^a EMORY UNIVERSITY   (United States)

^b MOTOROLA INC   (United States)

Author keywords

Community question answering; Social media

Indexed keywords

CLASSIFICATION ACCURACY; INFORMATION NEED; QUESTION ANSWERING; QUESTION ANSWERING SYSTEMS; SOCIAL MEDIA; TIME-SENSITIVE INFORMATION;

ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL; INFORMATION SERVICES; MINING; TEXT PROCESSING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 72449164966     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572091     Document Type: Conference Paper

References (4)

1. E. Agichtein, Y.Liu and J. Bian. Modeling information-seeker satisfaction in community question answering. ACM Trans. Knowl. Discov. Data, 2009
2. J. Jeon, W. B. Croft and J. H. Lee. Finding similar questions in large question and answer archives. In Proc. of CIKM, 2005
3. B. Li, Y. Liu and E. Agichtein. CoCQA: Co-Training over questions and answers with an application to predicting question subjectivity orientation. In Proc. of EMNLP, 2008
4. D. Zhang and W. S. Lee. Question classification using support vector machines. In Proc. of SIGIR, 2003